Uncertainty in Representation Learning on Knowledge Graphs

arXiv:2610.06974 · cs.LG · Submitted 2026-10-03 · Read on arXiv

cs.LG

Submitted: 2026-10-03

Updated: 2026-10-03

Project page: http://www

Terminology

• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes

Sources

• Language Models are Few-Shot Learners
• Sharpness-Aware Minimization for Efficiently Improving Generalization
• Qualitatively characterizing neural network optimization problems
• On Calibration of Modern Neural Networks
• Bayesian Active Learning for Classification and Preference Learning
• A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs
• Snapshot Ensembles: Train 1, get M for free
• Three Factors Influencing Minima in SGD
• On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
• Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents
• Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs
• Language Models with Conformal Factuality Guarantees
• ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion
• On Counterfactual Explanations under Predictive Multiplicity
• Description Logic EL++ Embeddings with Intersectional Closure
• Regularizing Neural Networks by Penalizing Confident Output Distributions
• Conformal Language Modeling
• Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings
• Classification with Valid and Adaptive Coverage
• RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

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